AI/ML Engineer

(Read till the end for application instructions)

At Anjaneya AI, we are building production-grade AI systems that replace real-world workflows — not demos, not prototypes, not hackathon projects.

We work on:

• AI voice agents
• Computer vision systems (face verification, automation)
• Call intelligence & QA systems
• End-to-end AI pipelines and agent-based architectures

Increasingly, we’re moving towards AI Swarms — systems where multiple AI agents collaborate to solve complex problems like a coordinated network.

Think beyond single models.

We are building systems where:

• Multiple AI agents handle different tasks
• Data flows through intelligent pipelines
• Decisions are automated end-to-end

From voice workflows → decision engines → automation systems

This is applied AI at scale

This is not a task-based role.

This is not a freelance mindset role.

We are building a long-term team.

If you:

• Wait for instructions
• Prefer fixed tasks and boundaries
• Want “work-life balance” as a priority

This role will not be a fit.

If you:

• Like figuring things out
• Enjoy building things from scratch
• Want to grow fast and take ownership

Then it will be your cup of tea.

You will take AI systems from idea → prototype → production

Your work will include:

• Build and orchestrate LLM-based systems
• Design multi-agent / “AI swarm”-like workflows
• Fine-tune or optimise models for specific use cases
  

• Build end-to-end pipelines:
• Data ingestion → preprocessing → inference → output
• Handle messy, real-world data (text, audio, images, etc.)
• Ensure high-quality inputs and reliable outputs
  

• Optimise systems for:
• Speed (low latency)
• Throughput (high volume processing)
• Cost efficiency
• Work with:
• Parallel processing
• APIs and backend systems
• Deployment pipelines
  

• Design systems where multiple components interact reliably
• Ensure robustness, fault tolerance, and scalability
  

• Work directly with founders
• Translate real-world problems into working AI systems
• Iterate fast and ship continuously

• Strong proficiency in Python
• Hands-on experience in at least one:
• LLMs / Generative AI
• Computer Vision
• Speech / Voice systems
• Experience with:
• APIs / backend development (FastAPI or similar)
• Working with real-world datasets
• Understanding of:
• Data pipelines (ETL, preprocessing)
• Model deployment basics

• Hugging Face / PyTorch / TensorFlow
• Docker / cloud platforms (AWS, GCP, Azure)
• GPU or performance optimisation
• Experience with multi-agent systems or orchestration tools

• You take initiative
• You ship things that work
• You are comfortable with ambiguity
• You don’t need hand-holding
• You care about building, not just learning

• Initial probation period
• Work delivered during this phase will be paid on a freelance basis
• Post probation:
• Transition into a full-time role
• Long-term growth with increasing ownership

• You won’t just “assist” — you’ll build core systems
• You’ll work directly with founders
• You’ll learn across LLMs, CV, voice, and systems design
• You’ll be part of building something from 0 → 1
  

⚡ Immediate joiners preferred

Fill this Google Form for application: (Applications only over LinkedIn will not be accepted)

https://forms.gle/taP9qDGJTLjyubjc7