AI/ML Engineer (Nellore)

AI/ML Engineer (Nellore)

01 Apr
|
Anjaneya AI
|
Nellore

01 Apr

Anjaneya AI

Nellore

AI Engineer (Immediate Joiner)

(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.

What are we trying to build?

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

The kind of person this role is for

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 rapid and take ownership

Then it will be your cup of tea.

What you’ll actually do

You will take AI systems from idea → prototype → production

Your work will include:

? AI Systems & Agents

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

⚙️ Data & Pipelines

- 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





⚡ Performance & Scale

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

? Architecture

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

? Problem Solving

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

Required Skills

- 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

Good to Have (but not mandatory)

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

What matters more than skills

- 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

Compensation & Structure

- 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

Why this role is different

- 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 will not be accepted)

📌 AI/ML Engineer (Nellore)
🏢 Anjaneya AI
📍 Nellore

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