Codly
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Build the operating system for the agentic cloud

We're a small team putting AI agents into production at banks, insurers and FinTechs. We're hiring for two roles right now.

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Production agentic AI

Agents that change real, regulated infrastructure — under policy, with humans in the loop.

Small team, real ownership

Ship end to end and work directly with the founder and with customers.

Every cloud

AWS, Azure, GCP, Kubernetes, VMware and OpenShift — and the hardest compliance problems in them.

Learn fast

Built by a founding team with decades of cloud-services experience.

Open roles

2 open positions

Engineering

AI Engineer — Agentic Systems

Build the AI agents at the heart of Codly — LLM-powered agents that plan, call tools and act on AWS, Azure, GCP and Kubernetes, under policy and with a human approving what matters.

EngineeringFull-time3-6 years experienceIndia
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About the role

You'll design, build and ship the agents that run our customers' clouds: operations, FinOps, compliance, service management and OS/DB agents coordinated by an AI supervisor and a policy engine. This is production agentic AI for banks and insurers — reliability, safety, cost and auditability matter as much as model quality.

What you'll do

  • Design and build multi-agent workflows — planning, tool and function calling, memory, retries and human-in-the-loop approval steps.
  • Build tool integrations that let agents act safely on cloud APIs (AWS, Azure, GCP), Kubernetes, databases and ITSM systems.
  • Build retrieval (RAG) over runbooks, policies and compliance frameworks using embeddings and vector databases.
  • Create evaluation harnesses — offline test sets, regression suites, guardrails and hallucination checks — and track accuracy, latency and cost per task.
  • Route work across models (OpenAI, Azure OpenAI, Gemini and open models), and optimise prompts, context and token spend.
  • Ship production services in Python with tests, observability and tracing; own features from design to customer rollout.
  • Work with security on prompt-injection defence, data isolation and audit logging for every agent action.

What you'll bring

  • 3-6 years of software engineering, including 1+ year building LLM-powered applications that real users depend on.
  • Strong Python (async, APIs, testing) and solid software design fundamentals.
  • Hands-on with LLM APIs and an agent framework such as LangGraph, LangChain, LlamaIndex, Semantic Kernel or AutoGen — and the judgement to know when not to use one.
  • Practical experience with RAG, embeddings and vector databases (Milvus, pgvector, Pinecone or similar).
  • Working knowledge of at least one public cloud (AWS, Azure or GCP), Docker and Kubernetes basics.
  • SQL (MySQL or PostgreSQL) and caching (Redis).

Nice to have

  • Cloud certification (AWS, Azure or GCP).
  • Experience with Model Context Protocol (MCP), fine-tuning or serving small open models.
  • Exposure to FinOps, security or compliance domains (RBI, SEBI, ISO 27001, PCI DSS).
  • Open-source contributions or public writing about LLM systems.

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Customer Engineering

Forward Deployed Engineer

Take Codly into banks, insurers and FinTechs. Deploy it in their clouds, build the integrations and agents they need, and turn what you learn in the field into product.

Customer EngineeringFull-time4-8 years experienceIndia
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Read the full job description

About the role

Forward Deployed Engineers sit with customer teams. You'll own the technical journey from the first 48-hour assessment to production — including private and air-gapped deployments — writing real code alongside customer engineers, and bringing their problems back to our product and AI teams.

What you'll do

  • Own technical delivery for enterprise customers, from assessment and proof of value to production rollout.
  • Deploy Codly into customer environments — AWS, Azure, GCP, VPC and on-premises/air-gapped — including IAM roles, networking and SSO.
  • Build integrations with ServiceNow, Jira, Freshservice, SIEM, Slack and Teams, plus customer-specific runbooks, policies and agents.
  • Map customer obligations (RBI, SEBI CSCRF, IRDAI, ISO 27001, PCI DSS) to Codly controls and evidence.
  • Run technical workshops, demos and assessment read-outs; help customers through security reviews and questionnaires.
  • Be the customer's voice inside Codly — write field playbooks and feed requirements to product and engineering.

What you'll bring

  • 4-8 years in cloud engineering, DevOps/SRE, or solutions/implementation engineering.
  • Hands-on depth in AWS and/or Azure (GCP a plus); relevant certification preferred.
  • Infrastructure as code (Terraform), Kubernetes, Linux, networking and IAM.
  • You write production code — Python (or Go) for integrations, automation and tooling.
  • Experience working directly with enterprise customers, ideally in banking, insurance or FinTech; confident with both CISOs and engineers.
  • Willingness to travel to customer sites.

Nice to have

  • Experience with compliance frameworks and audits in regulated industries.
  • ITSM tooling (ServiceNow, Jira Service Management, Freshservice).
  • Experience building with LLMs or AI agents.
  • Background at a cloud MSP or systems integrator.

Apply for this role

How we hire

Four steps, usually within three weeks

01

Apply

Send the form below — a person reads every application.

02

Intro call

30 minutes on your experience and what you want next.

03

Technical round

A practical exercise close to the real work, then a discussion of it.

04

Founder conversation

Meet the founder, ask anything, then an offer.

Apply

Apply for a role

Pick the position, add your details and resume. Don't see the right role? Choose "General application" and tell us what you'd like to build.

Questions? hr@allysense.ai

Apply

Takes about three minutes. Your details and resume go straight to our hiring team.

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Our hiring team reviews every application and will get back to you within a week.