Senior Manager- AI solution engineer
Location: Bengaluru • Level: Senior Level • Openings: 1 • Type: Full-time
Job description
Job
Details
Job
Title: AI Solution Engineer
Job
Location – Bangalore
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.
Certification: NA
Detailed
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 ownership
Scan the landscape to identify state-of-the-art frontier as well
as open weight models,
and make recommendations for specific solutions
Skills
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, or
GCP) for AI application deployment
A self-driven learning orientation, actively following
developments in LLMs, agent frameworks, and the broader AI ecosystem
Good to have skill
Open-Source LLMs – Llama, Mistral, Gemma
GraphRAG, Hybrid Search and Reranking
LLMOps, AI Observability and Monitoring
Model Fine-Tuning – LoRA / QLoRA
AI Guardrails, Responsible AI and Security
Other
Specific Remarks
Additional
Requirements: Proper
documents for entire career and PF Form 16 Mandatory
Job ID: 2094