Top Artificial Intelligence Jobs in Chennai

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Maintain and optimize production LLM and VLM services, including Flask/FastAPI microservices, Dramatiq queues, REST APIs, and Uvicorn/Gunicorn deployments. Design prompt strategies, feedback and evaluation pipelines, and AI routing integrations while monitoring latency, token usage, quality, and errors. Collaborate with engineering teams on scalable microservices, Dockerized deployments, CI/CD, security, and cloud infrastructure.

Leads technical planning, requirements gathering, estimation, architecture, development, testing, deployment, documentation, and support for client applications. Mentors developers, provides technical leadership, collaborates with solution architects, translates designs into technical requirements, manages projects, and communicates with technical and non-technical stakeholders in a consulting environment.

Lead technical consultant responsible for the full software development lifecycle, including technical design, implementation, testing, deployment, documentation, and support. Builds enterprise AI and LLM applications using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. Collaborates with architects and developers to translate designs into technical solutions while ensuring security, resiliency, and enterprise architecture standards.

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, prompt engineering, fine-tuning, and agent frameworks. Responsibilities also include Java and Spring Boot backend development, Python, Oracle, microservices, Docker, Kubernetes, cloud platforms, security, resiliency, and enterprise architecture. Requires 8+ years of software development experience and strong AI/LLM application expertise.

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. The consultant collaborates with architects and developers to translate designs into technical solutions and provides expertise in security, resiliency, and enterprise architecture.

Own the strategy and roadmap for Netomi’s enterprise AI Agents platform. Partner with customers, engineering, research, data science, and go-to-market teams to prioritize and ship capabilities. Build agent prototypes, connect APIs and MCP tools, design evaluations, analyze model quality, debug production failures, and establish governance, observability, and rollout practices. Drive measurable outcomes including resolution rate, cost, CSAT, adoption, and revenue expansion.

Develop ADAS AI/ML solutions focused on computer vision and radar algorithms. Responsibilities include image processing, mono and stereo camera systems, LiDAR point-cloud processing, coordinate transformations, camera calibration, 3D reconstruction, depth imaging, SLAM, and production-grade deep learning models. The role also requires understanding radar, imaging and optics systems, neural networks, machine learning techniques, Kalman and particle filters, and clustering methods.

Build and operate production AI/ML systems, including LLM applications, RAG pipelines, automated model training, APIs, multimodal data pipelines, and MLOps workflows. Deploy and monitor solutions on AWS using SageMaker, Lambda, S3, Glue, EKS, and Bedrock. Implement responsible AI guardrails, data governance, security, CI/CD, model versioning, performance monitoring, and retraining processes.

Lead capture and translation of business requirements for Salesforce Sales Cloud and Experience Cloud. Partner with business leaders to define system goals, prioritize scope, drive implementations, and produce functional and technical designs for engineering teams. Support CRM evolution, agile delivery, and top-of-funnel processes like lead, account, and partner management.

Build data infrastructure and reliable pipelines, analyze product usage, train traditional and LLM-based models, define product metrics, run experiments, and translate findings into product and go-to-market decisions. The role combines data science, data engineering, product analytics, machine learning, and stakeholder communication, with ownership across data modeling, evaluation, experimentation, and product insight generation.

Design, build, and deploy production generative AI features, including LLM applications, RAG pipelines, and agentic systems. Develop scalable Python and cloud backend services, evaluate model accuracy and performance, optimize reliability and cost, and implement monitoring, security, and observability. Collaborate with product, design, and engineering teams while mentoring teammates and exploring emerging AI technologies.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Build and deploy production AI systems, agents, APIs, backend services, data pipelines, and models. Work directly with customers to translate business challenges into technical solutions, automate workflows, run experiments, measure outcomes, and iterate quickly. The role requires strong software engineering and system design fundamentals, AI knowledge, cloud or Kubernetes familiarity, comfort with ambiguity, and strong communication skills.

Lead the vision, strategy, and execution of HighLevel’s Email AI platform. Responsibilities include generative email content and layout creation, autonomous lifecycle sequence generation, predictive send optimization, AI governance, privacy safeguards, roadmap development, instrumentation, and cross-functional alignment. The role aims to accelerate campaign creation, improve engagement, and launch Email AI and Sequence AI capabilities at scale.

Design and build production AI-powered analytics: conversational interfaces, LLM agents, semantic data models, and scalable data pipelines. Partner with Product and Engineering to deploy RAG/MCP-based solutions, integrate AI with enterprise data and cloud platforms, mentor teams, and promote Responsible AI practices to improve decision-making and automation across the company.

Design and develop scalable, resilient cloud architecture integrated with on-premises systems. Drive technical direction, identify platform efficiency opportunities, communicate complex architecture, and implement changes that improve reliability and supportability. Own critical software projects through design, implementation, quality assurance, deployment, and monitoring while providing technical leadership to engineers.

Build Python-based tools for layout, animation, matchmove, and previs artists working with complex CG scenes. Develop scene-management systems, asset and animation library integrations, and 3DEqualizer data import/export workflows. Collaborate with product owners and stakeholders in an Agile environment, contributing across design, development, maintenance, and pipeline integration. Work may include front-end and back-end development for high-end VFX and feature animation pipelines.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Runs multilingual AI quality evaluations across translation tools and models, manages reviewer networks, and maintains terminology assets such as term bases and style guides. Presents quality findings and recommendations to product and localization teams, supports stakeholders on evaluation and terminology processes, and collaborates with AI, data science, platform, and content teams in a global matrixed environment.

Lead engineering strategy, teams, architecture, delivery, and platform outcomes for the Unify Energy SaaS platform. Oversee software, data, integrations, automation, security, reliability, and applied AI capabilities supporting oil and gas information workflows. Partner with product, customers, implementation, and business leaders to prioritize investments, improve delivery predictability, strengthen platform quality, and achieve measurable customer, operational, and financial results.

Writes high-quality long-form content about AI, enterprise technology, infrastructure, and related topics. Responsibilities include researching complex subjects, developing thought leadership, whitepapers, reports, case studies, website content, and marketing assets; interviewing subject-matter experts; adapting content for varied audiences; editing for accuracy and clarity; and collaborating with marketing and SEO teams.

Lead Multiplier’s company-wide AI strategy, shared AI platform, and customer-facing AI experiences. Build agent infrastructure, retrieval, tool access, evaluation, and safety systems; launch an AI agent that answers questions using customer data and eventually executes tasks. Lead a cross-functional team, establish AI development standards, and partner across product, engineering, support, and operations to deliver trusted, scalable AI capabilities.

Deploys and configures ServiceNow Now Assist and related enterprise AI capabilities across customer instances. Translates AI architecture plans into workflows, integrations, and platform configurations; prototypes use cases; troubleshoots activation blockers; and drives adoption outcomes. The role also leads customer workshops, training, steering meetings, and executive briefings while documenting implementations and mentoring junior consultants.