Build production AI-powered automation, data pipelines, analytics, alerting, and anomaly detection systems. Integrate LLM features with internal tools, develop cloud and platform services, and collaborate with stakeholders to automate manual processes. Engineers specialize initially in AI, data, or platform engineering while contributing across tracks through pairing, code review, and shared delivery. The role requires strong API and data-handling skills, production engineering experience, clear communication, and willingness to work from the Chennai office during US Eastern overlap hours.
Experience: 7+ years
Location: Chennai, India (work from office)
Shift: US Eastern overlap, approximately 1:00 PM to 10:00 PM IST
Skills: Databricks or AI/Claude or GCP Big Query
About the role
We are building a three-person engineering team to deliver intelligent automation and analytics. The work spans AI-powered workflow automation, data pipelines and alerting.
Each engineer joins anchored in the track they are strongest in. Over time you will work across the others through pairing, shared code review and rotating work, so this is a role where you grow beyond the specialization you arrive with.
The two tracks
- AI engineering Building with LLM APIs and SDKs such as Claude, OpenAI or Gemini, including prompt design, tool calling, RAG or Agentic patterns, and shipping AI features into production
- Data engineering Building and scaling pipelines on platforms such as Databricks, Spark, Snowflake, Airflow or dbt, including data modelling, transformation and orchestration.
What you will do
- Build automation that replaces manual operational work
- Develop pipelines and analytics logic that surface actionable insights
- Ship AI features into production and integrate them with internal tools
- Build alerting and anomaly detection
- Document your work clearly and share knowledge across the team
- Work with business stakeholders to map manual processes and automate them
Essential
- 7+ years in software, data or platform engineering
- Strong API and data handling experience
- Depth in at least one of the three tracks above (e.g Databricks or AI/Claude or GCP Big Query)
- Track record of delivering production systems, not just prototypes
- Genuine interest in working across tracks over time
- Strong communication skills, written and verbal
Requirements
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and production delivery of AI/ML capabilities in enterprise healthcare applications. Builds ML and generative AI solutions, RAG systems, model-serving APIs, MLOps workflows, distributed cloud services, and CI/CD pipelines. Ensures responsible AI, security, privacy, reliability, monitoring, and operational readiness. Influences architecture across teams, mentors engineers, documents technical decisions, and delivers reusable production components.
Top Skills:
APIsCi/CdCloud ComputingContainersDistributed SystemsGenerative AiInfrastructure As CodeLarge Language Models (Llms)Machine Learning FrameworksMachine Learning Operations (Mlops)Model RegistriesPythonRetrieval-Augmented Generation (Rag)Vector Search
Consumer Web • HR Tech
Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.
Top Skills:
.NetAmazon EventbridgeAws LambdaAws Step FunctionsC#Claude CodeCursorGoogle GeminiOpenaiPerplexityPython
Artificial Intelligence • Fintech • Healthtech
Assist with designing, coding, testing, debugging, and deploying AI/ML features for healthcare and fintech applications. Support data preparation, model training, evaluation, and integration of LLM and GenAI APIs. Collaborate with senior developers, QA, and product teams, participate in code reviews, and write documented code under structured mentorship.
Top Skills:
JavaJavaScriptLlm ApisPythonPyTorchTensorFlow
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
