Agentic AI Engineer
Agentic AI Engineer
Posted on :
08-05-2025
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1 Vacancy
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Job Description
Join our AI team to architect Agentic AI systems that power autonomous drone fleets. You ll design multiagent frameworks where AI does not just suggests enabling drones to perceive reason and act independently. This role is for builders who ship code not theories ideal for handson engineers with portfolios of AI projects regardless of formal degrees. You ll work on:
- Multiagent coordination: Architect frameworks where AI agents communicate decompose tasks and solve problems collectively.
- Decision automation: Build systems that process diverse inputs (text sensor data images) to trigger realworld actions.
- Scalable AI: Optimize performance for cloud deployments where latency cost and reliability are critical.
Key Responsibilities:
Design Agentic AI Systems
- Develop frameworks for agenttoagent communication dynamic task assignment and contextaware decisionmaking using tools like LangGraph AutoGen or OpenAI Swarm.
- Implement RAG pipelines and memory management to ground agents in domainspecific knowledge (e.g. technical manuals historical logs).
Build Versatile AI Capabilities
- Work with VisionLanguage Models (VLMs) to analyze aerial/sensor imagery alongside textbased reasoning for tasks like anomaly detection.
- Create agents that autonomously execute Python functions (e.g. data analysis API calls) based on contextual triggers.
Optimize for RealWorld Impact
- Deploy scalable AI workflows on AWS/GCP balancing GPU utilization and latency for timesensitive applications.
- Implement observability tools (e.g. LangSmith) to monitor agent behavior debug failures and improve system reliability.
HumanintheLoop Intelligence
- Design oversight mechanisms for AI agents balancing autonomy with safety (e.g. bias testing fallback protocols).
- Optimize agent observability with tools like LangSmith for debugging and performance monitoring.
Required Skills and Qualifications:
We care about your engineering mindset not your industry pedigree.
Proven AI Development Experience
- Portfolio of projects demonstrating multiagent systems RAG implementations or decision automation (GitHub/Kaggle links required).
- Proficiency in Python and AI/ML frameworks (PyTorch TensorFlow Hugging Face).
Technical Breadth
- Experience with cloud platforms (AWS GCP) and vector databases (Pinecone Milvus).
- Familiarity with agentic frameworks (LangChain CrewAI) and LLM orchestration.
ProblemSolver Mindset
- Ability to ship productionready code that balances innovation with scalability.
Culture Fit
- Thrive in ambiguity embrace failure as a learning tool and challenge KPIs to chase goals.
What We Offer
- Build Without Boundaries: Shape your role and work on moonshot projects (no rigid job descriptions!.
- Fail Fast Learn Faster : Experiment freely in a zerobureaucracy environment.
- Own EndtoEnd Solutions: From designing agent protocols to optimizing cloud costs you ll see your code drive realworld outcomes.
- Collaborative Team Energy: Work in Pune with a team that whiteboards iterates and ships together. Daily hackathons > endless meetings.
- Growth Fuel: Access to cuttingedge tools conferences and a team of AI/robotics nerds.
Show us your code not your resume.
Apply with:
- A GitHub/GitLab link to your most ambitious AI project
- A 1paragraph pitch for an agentic system that could automate a complex workflow (e.g. An AI team that troubleshoots server outages)
FlytBase is an equalopportunity employer. We hire weirdos visionaries and tinkerers because changing the world requires all three.
python,gcp,tensorflow,decision automation,crewai,langsmith,aws,vision-language models (vlms),milvus,llm orchestration.,autogen,pinecone,multi-agent coordination,multi-agent systems,vector databases,ai development,rag pipelines,langchain,rag implementations,pytorch,openai swarm,llm orchestration,observability tools,agentic ai,langgraph,cloud platforms,ai/ml frameworks,hugging face
Employment Type
Full Time
Key Skills
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