Gen AI Delivery Manager
Tekskills
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- AWS
- Azure
- backend
- communication skills
- compliance
- DevOps
- GCP
- JavaScript
- kernel
- TypeScript
About the role
Tekskills
Website:
tekskillsinc.com
Job details:
- Hands-on technical lead with deep Gen-AI expertise to lead delivery of client facing GenAI platforms
- Strong technical leadership, active coding and ability to work closely with client to define, design and deliver scalable GenAI solutions
- Combines LLM system design, engineering excellence and client communication skills to translate business problems into production ready AI capabilities
Key Responsibilities
- Own end to end technical delivery for Gen AI solutions
- Act as primary technical point of contact for client teams
- Be actively hands on with design, development, review and optimization of GenAI and backend code
- Architect and implement LLM based systems (RAG, agents and workflow systems)
- Translate client requirements into scalable, secure technical solutions
- Guide best practices for prompt engineering, model usage, evaluation and observability
- Mentor engineers and ensure high engineering and delivery standards
- Ensure performance, cost efficiency, security and responsible AI compliance
- Support client demos, technical discussions, and solution walkthroughs
Skills and Experience
- 10-12 years of software engineering experience with 4+ years of Tech Lead experience
- Proven hands on experience for delivering Gen AI / LLM solutions in production
- Experience working directly with client and external stakeholders
- Strong experience with LLM platforms (Azure OpenAI, OpenAI, Anthropic or Opensource AI model)
- Deep understanding of RAG architecture, embeddings, and vector databases
- Experience with GenAI frameworks (Langchain, LlamaIndex, Semantic Kernel, etc.)
- Strong Programming skills in Python (preferred) and / or JavaScript / TypeScript
- Experience with cloud platforms (AWS, Azure, or GCP), APIs and / or micro services
- CI/CD and DevOps / MLOps exposure
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