Talent Pro

Strong Product Manager with relevant industry (ERP/POS/B2B SaaS in RetailTech) experience OR Top College MBA graduate with 2 years experience in product company

Mandatory (Experience 1) – Must have 2+ years of hands-on experience in Product Management in B2B SaaS in Retail Tech Industry OR POS OR Supply-chain/Logistic-Tech OR Commerce / Omnichannel platforms.

Mandatory (Experience 2) - Must have proven track record of driving measurable business impact, such as improvements in product adoption, revenue, retention, activation, or customer experience, rather than only delivering features.

Mandatory (Experience 3) – Must demonstrate end-to-end product ownership, including product discovery, PRD creation, prioritization, launch, and post-launch performance tracking

Mandatory (Stability) – Candidate should have worked minimum 1.5 years in each company

Mandatory (Company) - Ecommerce / POS/ Retail Tech SaaS Companies

Mandatory (Note): Top College MBA graduate with 2 years experience in product company will also work

Strong Product Designer, with a focus on B2B SaaS / Enterprise UX Products

Mandatory (Experience) : Must have 3+ YOE in UI + UX design experience in B2B SaaS or Enterprise products

Mandatory (B2B Exposure) : Must have hands-on B2B experience (NO pure B2C profiles)

Mandatory (UX Skills) : Must have strong end-to-end UX experience (research, flows, wireframes, journey, prototyping)

Mandatory (UI Skills) : Must be able to deliver high-fidelity, developer-ready Figma designs

Mandatory (Design tools): Hand on experience with Adobe XD, Photoshop, Illustrator, Figma. Knowledge of Axure, InVision are a plus

Mandatory (Portfolio) : Must have strong portfolio of Product Design works from SaaS / B2B / HRMS / Intranet Products. The portfolio should show detailed case studies, not just UI screens

Mandatory (Education) : Bachelor's degree specializing in Design or related field (NID / NIFT / IIT / equivalent preferred). No candidates who have only done short UX bootcamps (2–7 days).

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1.5+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Strong UI/UX Product Designer Profile (UX-first focus)

Mandatory (Experience 1): Must have 2+ years of hands-on experience in UI/UX or Product Design roles with a strong focus on UX (user flows, journey mapping, usability) from a product company background

Mandatory (Experience 2): Must have hands-on experience in end-to-end design process including user research, persona creation, wireframing, prototyping, and high-fidelity designs

Mandatory (Design Skills): Must be strong in Figma and/or Adobe Suite (Photoshop, Illustrator, XD, Sketch) with practical exposure to creating UI designs and prototypes

Mandatory (Collaboration): Must have experience working cross-functionally with product managers, developers, or business teams

Mandatory (Company): Product companies (B2C preferred)

Mandatory (Portfolio) : Must have a strong portfolio showcasing end-to-end UX process (user research, flows, wireframes, prototypes, final designs); preference for candidates with live product work (web/app) demonstrating real-world impact

Mandatory (Education) : Bachelor’s degree in Design, HCI, or related field (or equivalent experience)

Mandatory (Note): Candidate must be willing to complete a design assignment as part of the hiring process (non-negotiable)

Strong Product Designer, with a focus on B2B SaaS / Enterprise UX Products

Mandatory (Experience) : Must have 3+ YOE in UI + UX design experience in B2B SaaS or Enterprise products

Mandatory (B2B Exposure) : Must have hands-on B2B experience (NO pure B2C profiles)

Mandatory (UX Skills) : Must have strong end-to-end UX experience (research, flows, wireframes, journey, prototyping)

Mandatory (UI Skills) : Must be able to deliver high-fidelity, developer-ready Figma designs

Mandatory (Design tools): Hand on experience with Adobe XD, Photoshop, Illustrator, Figma. Knowledge of Axure, InVision are a plus

Mandatory (Portfolio) : Must have strong portfolio of Product Design works from SaaS / B2B / HRMS / Intranet Products. The portfolio should show detailed case studies, not just UI screens

Mandatory (Education) : Bachelor's degree specializing in Design or related field (NID / NIFT / IIT / equivalent preferred). No candidates who have only done short UX bootcamps (2–7 days).

Strong Sales / BD Leader, with strong exposure to Staffing and Recruitment industry Profile

Mandatory (Experience) : Must have 6+ YOE in B2B Sales, with recent 3+ years in Sales for IT Staffing / Recruitment services

Mandatory (Sales Skills) : Must have proven experience acquiring and closing large enterprise clients (eg: morgan stanley , uber , nutanix walmart..etc)

Mandatory (Ownership) : Must have experience of handling end-to-end sales (prospecting → pitching → commercials → closure)

Mandatory (Strategy) : Must have experience in pricing, competitor analysis, driving innovative sales strategies and differentiating between niche and non-niche hiring

Mandatory (Network) : Must have existing relationships with decision-makers in Tech / Product companies (HR, TA Heads, Business Heads, etc.)

Mandatory (Company) : Staffing firms, Recruitment firms, Talent solutions companies

Mandatory (Note 1) :This is currently an IC role but open to both individual contributors and leadership profiles (team building expected over time)

Mandatory (Note 2) : Ensure that the resume shows proper metrics as a proof of impact (e.g. revenue generated, number of engineers placed per account, size of deal, number of clients)

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (Top 7 IITs, Top 5 NITs, IIIT Bangalore, IIIT Hyderabad, IIIT Allahabad, MNNIT, IIT Dhanbad, BITS Pilani). Candidates from other institutions will not be considered unless they come from top-tier product companies

Mandatory (Note) : This role is a hybrid role (2 days WFO)

Strong Full Stack Engineer profiles

Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)

Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments

Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces

Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries

Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices

Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes

Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks

Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.