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Founding AI Engineer – Production Systems

NK Securities Research

Gurugram/Gandhinagar/Singapore1mo ago

About the role

<p>NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes.</p> <h4 id="Role-Overview" data-local-id="3ab037bc1802" data-renderer-start-pos="1">Role Overview</h4> <p data-renderer-start-pos="16" data-local-id="969b6f3e8a97">We’re looking for engineers who can take AI work beyond experiments and make it hold up in production.&nbsp;You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack.&nbsp;We value engineers who think about trade-offs, test what they build, and care about how things run in production.</p> <h4 id="What-You’ll-Build" data-local-id="1ccc2bcd2cde" data-renderer-start-pos="427">What You’ll Build</h4> <h4 id="Production-AI" data-local-id="5c971e8c1ab4" data-renderer-start-pos="446">Production AI</h4> <ul class="ak-ul" data-local-id="0838b3e8-d1e6-4835-b160-84897ea374ac" data-indent-level="1"> <li> <p data-renderer-start-pos="463" data-local-id="e4b5f60feebb">Ship models that meet defined latency and reliability expectation</p> </li> <li> <p data-renderer-start-pos="533" data-local-id="6b5061c6f56b">Add monitoring, rollback, and guardrails before anything goes live</p> </li> <li> <p data-renderer-start-pos="603" data-local-id="dd70c6af7417">Optimise inference across CPU/GPU environments when it matters</p> </li> </ul> <h4 id="Integration-into-Real-Systems" data-local-id="014a6ac94f4a" data-renderer-start-pos="669">Integration into Real Systems</h4> <ul class="ak-ul" data-local-id="dd4ce76f-6137-4afe-a315-14d54d5e98a7" data-indent-level="1"> <li> <p data-renderer-start-pos="702" data-local-id="dd3134f4ade9">Plug AI into data-heavy workflows without hurting performance</p> </li> <li> <p data-renderer-start-pos="767" data-local-id="9c59c63b2e55">Work within existing low-latency architecture instead of fighting it</p> </li> <li> <p data-renderer-start-pos="839" data-local-id="2a453b4d2c85">Profile and remove bottlenecks rather than guessing</p> </li> </ul> <h4 id="AI-for-Engineers-&amp;-Researchers" data-local-id="158397685acc" data-renderer-start-pos="894">AI for Engineers &amp; Researchers</h4> <ul class="ak-ul" data-local-id="df702945-39ca-49de-84bd-79a1707f5964" data-indent-level="1"> <li> <p data-renderer-start-pos="928" data-local-id="c59d26846d6a">Build tools that genuinely speed up research and development</p> </li> <li> <p data-renderer-start-pos="992" data-local-id="1cf76204f3fd">Improve code understanding, review workflows, and internal knowledge retrieval</p> </li> <li> <p data-renderer-start-pos="1074" data-local-id="a6f5a20f9234">Keep systems auditable and predictable</p> </li> </ul> <h4 id="LLM-&amp;-Retrieval-Systems" data-local-id="4947acc49c3e" data-renderer-start-pos="1116">LLM &amp; Retrieval Systems</h4> <ul class="ak-ul" data-local-id="bfd690e3-94ea-4c81-bf3d-12d1df594198" data-indent-level="1"> <li> <p data-renderer-start-pos="1143" data-local-id="7277d456c19e">Implement structured RAG and embedding pipelines with validation in place</p> </li> <li> <p data-renderer-start-pos="1220" data-local-id="0f7cec531ba6">Create safe integration layers between models and internal systems</p> </li> </ul> <h4 id="Performance-&amp;-Standards" data-local-id="5a01cab82514" data-renderer-start-pos="1290">Performance &amp; Standards</h4> <ul class="ak-ul" data-local-id="545dd00b-5e7a-4ced-a390-5a42af953855" data-indent-level="1"> <li> <p data-renderer-start-pos="1317" data-local-id="8fbf4cc61b4f">Track latency, drift, and stability — not just accuracy</p> </li> <li> <p data-renderer-start-pos="1376" data-local-id="e07a16270484">Build observability into everything you ship</p> </li> <li> <p data-renderer-start-pos="1424" data-local-id="a9166e5f4c89">Help raise the bar for how AI is engineered here</p> </li> </ul> <h4 id="What-We’re-Looking-For" data-local-id="c7752ee732d3" data-renderer-start-pos="1476">What We’re Looking For</h4> <h4 id="Strong-Python-fundamentals" data-local-id="8192ee2e4133" data-renderer-start-pos="1500">Strong Python fundamentals</h4> <ul class="ak-ul" data-local-id="ca111ed9-1bc9-4978-86c1-8d4d1626c1eb" data-indent-level="1"> <li> <p data-renderer-start-pos="1530" data-local-id="5e16e65735e8">Clear thinking around system design and performance trade-offs</p> </li> <li> <p data-renderer-start-pos="1596" data-local-id="5e8de7dcc22d">Experience deploying AI systems in production (1–5 years is typical)</p> </li> <li> <p data-renderer-start-pos="1668" data-local-id="ff9bf87d90b0">Familiarity with transformers, embeddings, or LLM deployment</p> </li> </ul> <p data-renderer-start-pos="1732" data-local-id="8db2da1975f9"><strong data-renderer-mark="true">Nice to have:</strong></p> <ul class="ak-ul" data-local-id="3c6b0f44-0150-48d6-ab83-6fef7d5a59d7" data-indent-level="1"> <li> <p data-renderer-start-pos="1749" data-local-id="70a5bfbd807b">Exposure to C++ / Rust / Go</p> </li> <li> <p data-renderer-start-pos="1780" data-local-id="09c6d63e6da5">Experience in distributed or performance-critical environments</p> </li> <li> <p data-renderer-start-pos="1846" data-local-id="9be0899cf3fd">Comfort operating with ownership and minimal hand-holding</p> </li> </ul> <h4 id="Why-This-Role" data-local-id="e8f9969ce2c9" data-renderer-start-pos="1907">Why This Role</h4> <ul class="ak-ul" data-local-id="80af7ed3-f1a3-48f5-a2d9-ba44931e00ad" data-indent-level="1"> <li> <p data-renderer-start-pos="1924" data-local-id="ff362c2ad7df">You’ll build AI systems that directly impact research and infrastructure</p> </li> <li> <p data-renderer-start-pos="2000" data-local-id="605efc300f38">You’ll work with engineers who argue about trade-offs — and care about getting them right</p> </li> <li> <p data-renderer-start-pos="2093" data-local-id="d6ec3e34e34c">You’ll have real ownership from design to deployment</p> </li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">What We Offer:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Competitive salary package.</li> <li data-stringify-indent="0" data-stringify-border="0">A dynamic, high-performance, and collaborative work environment.</li> <li data-stringify-indent="0" data-stringify-border="0">Strong focus on career growth and development.</li> <li data-stringify-indent="0" data-stringify-border="0">Catered breakfast and lunch.</li> <li data-stringify-indent="0" data-stringify-border="0">Monthly team dinners.</li> <li data-stringify-indent="0" data-stringify-border="0">Annual international and domestic team trips.</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>

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