Lead development of agentic AI systems, mentor engineers, and drive projects utilizing LLMs and orchestration frameworks. Manage AI model lifecycle and collaborate with stakeholders.
Job Description:
About the Role
Kaleris is looking for a Senior Software Engineer with deep expertise in agentic AI systems, LLM orchestration, and production-scale deployment. You will shape and deliver strategic GenAI features, mentor team members, and drive applied AI projects utilizing frameworks like LangGraph.
Responsibilities
- Architect and lead development of advanced agentic AI systems using LangGraph or similar frameworks.
- Own the full model lifecycle: research, solution design, prototyping, optimization, testing, and production deployment.
- Lead and mentor the AI team, setting best practices for model quality, scalability, and responsible AI.
- Integrate LLMs with enterprise data, orchestration systems, and workflow automation (RAG, vector search, API development).
- Collaborate with engineering, product, and business stakeholders to define AI-driven product features and roadmaps.
- Conduct technical reviews, establish coding standards, and ensure codebase robustness.
- Optimize AI infrastructure for performance, cost, and reliability (cloud, MLOps, container orchestration).
- Champion innovation: stay ahead of industry trends, bring actionable insights and drive adoption of new AI technologies.
- Ensure AI model governance, fairness, and compliance with ethical/organizational standards.
Requirements
- Bachelor’s or Master’s (PhD a plus) in Computer Science, Engineering, or related field.
- 5+ years building and deploying AI/ML systems (at least 2+ years with LLMs or agentic frameworks in production). Proven track record building agentic patterns (ReAct, Agentic Loops), multi-agent systems, and graph-based orchestration engines.
- Proven experience with Python, LLM technologies, advanced prompt engineering, and agent workflows (LangGraph, LangChain, CrewAI), async programming (asyncio), and backend frameworks (FastAPI, Django).
- Deep understanding of cloud AI platforms (AWS/Azure), containerization (Docker/Kubernetes), and CI/CD for ML ops.
- Demonstrated leadership in AI solution design, code and architecture reviews, and mentoring junior engineers.
- Experience with retrieval pipelines, vector databases, and cloud-native architectures.
- Proficient with full-stack AI development: APIs, microservices, data pipelines.
- Strong knowledge of MLOps tools, monitoring, versioning, and responsible AI.
- Excellent communication, influencing, and cross-team collaboration skills.
- Intellectual curiosity, a drive for innovation, and a passion for making an impact with AI.
Highly Desired
- Experience building enterprise agentic AI or autonomous workflow orchestration systems.
- Expertise with neural search, advanced RAG, and enterprise data integration.
- Certifications in AI/ML, cloud, or relevant technologies.
- Logistics/supply chain software experience is a strong plus.
Why Join Kaleris?
- Competitive salary & comprehensive benefits
- Inclusive, diverse, and collaborative team culture
- The chance to build AI products at the frontier of agentic intelligence for supply chain
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Kaleris Chennai, Tamil Nadu, IND Office
Zenith, Phase III, Unit No: 4 9th floor, CSIR Road , Chennai, India, 600 113
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Design, build, and maintain Java-based cloud-native backend services and microservices for a fraud platform. Contribute to system design, CI/CD, integrations, performance, and production reliability. Mentor junior engineers and collaborate across product, architecture, DevOps, and cross-functional teams in a hybrid environment.
Top Skills:
AWSAzureCi/CdDevOpsGCPGitGradleJavaKafkaMavenMicroservicesNoSQLRabbitMQRdbmsRest ApisSpring Boot
Digital Media • Information Technology • News + Entertainment
Write and maintain clean, efficient code; design and develop new applications; implement unit and integration testing frameworks; document development and deployment processes; analyze integration needs and system architecture; collaborate with QA; troubleshoot performance and functional issues; exercise independent judgment and work variable schedules including nights and weekends.
Digital Media • Information Technology • News + Entertainment
Perform penetration tests (web, network, API, mobile) and vulnerability assessments; simulate attacks, exploit and document weaknesses; produce remediation reports; run red team exercises and security audits; develop automated testing tools; collaborate with development, DevOps, QA and stakeholders; mentor junior staff and manage technical documentation to improve security and compliance (OWASP, NIST).
Top Skills:
BashBurp SuiteDnsHTTPHttpsLinuxMetasploitNistNmapOwaspOwasp ZapPowershellPythonTcp/IpWindowsWireshark
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.
