AI Developer

Techtorch

India

Remote

Who this role is best for

Best suited to experienced AI practitioners with production deployment expertise working in enterprise automation settings.

Best fit for

Experienced AI practitioners who have shipped production-grade AI systems in the past 2-3 years
— “If you’ve been building AI agents for the last couple of years and love the challenge of getting things done fast”
Candidates comfortable with building agentic systems and integrating them with real-world APIs and cloud infrastructure
— “Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events)”
Individuals who thrive in ownership-driven teams and prioritize measurable business outcomes
— “You own your outcomes — from idea to deployment”

Things to consider

The role requires a strong focus on client collaboration and rapid iteration, not just technical execution
— “Work directly with clients to capture requirements, run experiments, and iterate fast”
Candidates must be ready to deploy AI systems in production, not just develop prototypes or experiments
— “Take prototypes to production — with CI/CD, containers, and cloud deployment”
The role demands a deep understanding of AI model ecosystems and their integration with orchestration tools
— “Integrate and evaluate top models (Gemini, GPT, Claude, etc.)”

How to stand out

Highlight experience with agentic systems and production deployment in your resume and interviews
— “We’re looking for an AI Developer who can design, implement, and deploy agentic systems that actually work in production”
Emphasize your skills in Python, particularly async programming and testing, in your application materials
— “Strong Python skills (async, testing, packaging)”
Include examples of your work with orchestration tools like LangChain, n8n, or Airflow
— “Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)”

Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

designs and implements agentic systems
integrates and evaluates top models
builds internal SDKs

Typical background

3+ years of experience in building and shipping AI agents

Skills & requirements

Required

Ai-developmentPythonModel-integrationOrchestration-toolsProduction-deployment

Preferred

TypeScriptFastapiNode.jsObservability-tools

Stack & domain

PythonLanggraphLangchainAWS BedrockOpenaiGeminiClaudeAIAutomation

About the role

Original posting from Techtorch via Ashby

About TechTorch
At TechTorch, we’re building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows — delivering reliability, measurable ROI, and massive efficiency gains.
Here, you won’t just be playing with prompts or running endless proofs of concept. You’ll ship production-grade AI systems that solve real problems across industries.
You’ll join a hands-on, fast-moving, ownership-driven team that thrives on building quickly, iterating fast, and seeing results in days — not months.
Role overview
We’re looking for an AI Developer who can design, implement, and deploy agentic systems that actually work in production.
If you’ve been building AI agents for the last couple of years and love the challenge of getting things done fast — this is your place.
This is not a research role. It’s about building, testing, and shipping real AI products that deliver measurable business value.
What you’ll do
Design and implement multi-step AI agents and orchestration workflows in Python
Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools
Integrate and evaluate top models (Gemini, GPT, Claude, etc.)
Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events)
Implement memory, retrieval, and planning for reliable agent behavior
Take prototypes to production — with CI/CD, containers, and cloud deployment
Build internal SDKs and reusable agent templates to speed up delivery
Instrument everything — logging, tracing, guardrails, evaluation
Work directly with clients to capture requirements, run experiments, and iterate fast
Apply best practices for security, privacy, and safety in all deployments
What you bring
3+ years of hands-on experience building and shipping AI agents or complex automations
Strong Python skills (async, testing, packaging)
Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)
Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems
Solid data foundations: embeddings, RAG, chunking, indexing
Software engineering fundamentals: Git, CI/CD, Docker, AWS
Bonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)
How you work
You own your outcomes — from idea to deployment
You’re proactive, adaptable, and thrive in fast-changing environments
You like moving fast, but never at the cost of quality
You communicate clearly and love solving problems collaboratively
Our Values
Client First — We focus relentlessly on delivering outcomes that create value for our clients.
We, Not Me — We win together. Collaboration drives transformation at scale.
Get Stuff Done — We execute with speed and precision — because in PE, time matters.
AI First — We embed AI at the core, enabling scalable, high-leverage solutions.
Own It — We take accountability for results, delivering on what we promise.
Agile mindset — We adapt quickly and proactively seek better ways to move forward.
What We Offer
Work on real, high-impact AI systems — not just demos
Exposure to Fortune 500 and private equity clients
Remote-first and flexible — we care about results, not hours
Fast recruitment process — we move as quickly as you do
Career growth, certifications, and access to leading AI tech

Source: Techtorch careers (Ashby)