AI Engineer
Designation
AI Engineer
Budget
As Per Market Standard
Experience:
2+ Years
Primary Skills:
2+ years of hands-on experience building and shipping AI / ML applications in production
Relevant Exp.
2+ Years
No. of Positions
1
Job Role:
Remote / Hybrid • Full-Time
Work Location(s):
Bangalore
About the Role
We are looking for a passionate AI Engineer to join our growing team. You will design, build, and deploy large language model (LLM) powered applications and autonomous agentic systems that solve real-world problems. This role sits at the intersection of applied AI research and production engineering — you will move fast, ship intelligent systems, and push the boundaries of what’s possible with modern AI.
Key Responsibilities
LLM Integration & Prompt Engineering
✓ Design and integrate LLM-powered features using OpenAI, Anthropic Claude, and open-source model APIs
✓ Craft, iterate, and systematically evaluate prompts for accuracy, safety, and cost-efficiency
✓ Implement structured output parsing, function calling, and tool-use workflows
Agentic Pipeline Development
✓ Build multi-step agentic workflows using frameworks such as Adk,LangChain, LlamaIndex, CrewAI, or AutoGen
✓ Architect multi-agent systems with clear role separation, task delegation, and coordination logic
✓ Implement memory systems (short-term, long-term, episodic) to enable persistent agent behavior
RAG & Knowledge Systems
✓ Design and maintain Retrieval-Augmented Generation (RAG) pipelines from ingestion to generation
✓ Work with vector databases (Pinecone, Weaviate, Chroma, pgvector) for semantic search and retrieval
✓ Optimize chunking strategies, embedding models, and re-ranking to maximize retrieval quality
Evaluation & Observability
✓ Define and track metrics for LLM output quality, latency, cost, and reliability
✓ Set up evaluation frameworks (RAGAS, LangSmith, custom harnesses) to benchmark system performance
✓ Monitor production AI systems and debug regressions or hallucinations proactively
Required Skills & Experience
✓ 2+ years of hands-on experience building and shipping AI / ML applications in production
✓ Proficiency in Python with strong command of async patterns and API integration
✓ Practical experience with LLM frameworks: LangChain, LlamaIndex, or equivalent
✓ Experience building agentic systems with CrewAI, AgentAdk,AutoGen, LangGraph, or similar orchestration tools
✓ Familiarity with OpenAI and/or Anthropic APIs including tool use and streaming
✓ Working knowledge of vector databases and embedding-based retrieval systems
✓ Understanding of RAG architecture patterns and their trade-offs
✓ Solid grasp of prompt engineering techniques: chain-of-thought, few-shot, self-consistency
Nice to Have
✓ Experience with the Anthropic Claude API and Claude’s tool-use / function-calling features
✓ Familiarity with agent memory architectures (MemGPT, Zep, custom solutions)
✓ Exposure to evaluation frameworks such as RAGAS, TruLens, or DeepEval
✓ Knowledge of LLM security: prompt injection, jailbreak mitigations, guardrails
✓ Contributions to open-source AI projects or published experiments / blog posts
✓ Experience deploying AI services on AWS, GCP, or Azure using containers / serverless
Qualifications
✓ Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field — or equivalent practical experience
✓ 2+ years of professional experience in AI/ML engineering or applied NLP
✓ Portfolio of shipped projects involving LLMs or intelligent systems (GitHub, demos, or case studies)
✓ Strong communication skills — you can explain complex AI concepts to non-technical stakeholders
What We Offer
💰 Competitive Salary + Equity Market-rate comp with meaningful equity upside | 🌍 Remote-First Culture Work from anywhere with async-friendly practices |
🧠 Learning & AI Research Budget Annual budget for courses, conferences, and API credits | ⚙️ High-Impact Work Ship AI systems used by real customers from day one |
🏥 Health & Wellness Benefits Comprehensive medical, dental, and vision coverage | 📅 Flexible PTO Unlimited PTO policy with a culture that respects rest |
