- Work Model Hybrid
- Candidate Expectation Total and Relevant Experience - 10+ years of experience architecting and building robust, enterprise-grade systems, with a track record of taking complex solutions from concept to production at scale.
- Candidate Location - Bangalore
- Skills Generative AI and LLM Application Development.
- OpenAI, Anthropic Claude, etc.
- Candidate Industry(Lateral) Diversity No
- Education and Certification Qualification: Bachelor s degree in Computer Science, Information Technology or related discipline.
- Specific Remarks: Distance education not accepted.

Job Description

- Design and build LLM-powered applications using frontier models(OpenAI, Anthropic, Gemini) and open-source alternatives, across the full stack from data ingestion and vector stores through to model serving and deployment
- Architect agentic workflows including tool calling, memory, planning, and multi-agent orchestration using frameworks such as Lang Graph and Crew AI, as well as with native LLM primitives Integrate AI systems with external tools, services, and data sources using primitives like A2A, MCP, and API function calling
- Rapidly prototype and iterate using agentic coding tools such as Claude Code, Codex, and Antigravity to accelerate development cycles
- Apply prompt engineering, RAG pipelines, and LLM evaluation techniques to build reliable, production-grade AI systems
- Translate complex business problems into practical AI solutions,



working both as part of cross-functional teams and as an independent contributor with end-to-end ownerships can the landscape to identify state-of-the-art frontier as well as open weight models, and make recommendations for specific solutions

Mandatory Key skill

- 10+ years of experience architecting and building robust, enterprise-grade systems, with a track record of taking complex solutions from concept to production at scale
- Strong hands-on experience building LLM-powered applications, with working knowledge of at least one frontier model provider and familiarity with open-source alternatives
- Demonstrated ability to architect AI-native solutions and pipelines end-to-end
- Experience designing agentic systems, with practical knowledge of agent frameworks, orchestration patterns, and integration primitives
- Ability to synthesize data from disparate systems and build pipelines that construct rich, reliable context for AI applications
- Familiarity with at least one major cloud platform (AWS, Azure, orGCP) for AI application deployment
- A self-driven learning orientation, actively following developments in LLMs, agent frameworks, and the broader AI ecosystem

Positive to have skill

- Open-Source LLMs Llama, Mistral, Gemma GraphRAG, Hybrid Search and Reranking LLMOps, AI Observability and Monitoring Model Fine-Tuning LoRA / QLoRAAI Guardrails, Responsible AI and Security
- Other Specific Remarks Additional Requirements: Proper documents for entire career and PF Form 16 Mandatory

📌 Senior Manager - AI Solution Engineer (Bengaluru)
🏢 Golden Opportunities
📍 Bengaluru