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Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible. About the Role You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it. You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system. Four behaviors define this role: Go where the work happens. You work onsite with the customer, in the room where decisions are made.Show working software early. You build a prototype in days, not a document in weeks.One person owns the outcome. You are the single point of accountability for the result.Stay after go-live. You keep running and improving the system after launch. You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you. This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working. What you'll own Discovery - Learn how the customer makes money. Find the highest value problem to solve first.The prototype - Build a working prototype fast, using real or sample data, to prove the idea.The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.Feedback to the product - Share what you learn in the field so our platform and internal tools get better.What we are looking for Around 7 or more years of software engineering experience, including customer-facing or client delivery work.Experience working at a consulting or professional services firm in a client-facing delivery role.A full-stack development experience with strength in backend technologies.Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.Production experience with large language models, including prompt engineering and agent development.You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.Experience building and deploying AI systems.Experience integrating with APIs and enterprise systems.Experience with at least one cloud platform (AWS, Azure, or GCP).Experience building evaluations to measure accuracy, safety, latency, and cost.Clear communication. You can explain a technical choice to an engineer and to a business leader.High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.Nice to have Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.Experience with on-premises or private cloud (VPC) deployments.Experience with observability and tracing tools such as LangSmith or Braintrust.Experience with data engineering and pipelines.A history of side projects, open source contributions, or products you shipped end-to-end.Experience in embedded or forward-deployed roles before.Stack and tools Languages: Python and TypeScript.Models: Claude and other frontier or open source models, chosen to fit the customer.AI patterns: RAG, agents, prompt engineering, and evaluations.Vector and retrieval: vector databases and retrieval pipelines.Cloud: AWS, Azure, or GCP, on public or private cloud.Integration: REST APIs and enterprise system connectors. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.