Staffnixcom

Strong B2B SaaS / ERP Sales Profile with outbound and field sales exposure

2

Mandatory (Experience 1): Must have 5+ years in outbound and field sales, with the recent 3+ years in selling ERP solutions/B2B SaaS products

3

Mandatory (Experience 3): Must have independently managed deal sizes around INR 50L ARR

4

Mandatory (Skill 1): Must have owned the full sales cycle: lead generation, coordinating demos/POCs with pre-sales, proposal preparation, commercial negotiation, closure, contracting, and payment collection

5

Mandatory (Skill 2): Must have strong communication and the ability to sell to and interact with CXO profiles

6

Mandatory (Skill 3): Must be proficient with CRM tools and data analysis to drive sales performance, and able to work independently

7

Mandatory (Note): This is an IC role

8

Preferred (Domain): Must have experience selling to garment or retail industry

Strong Senior AI Engineer Profile with production-grade LLM and Python expertise

2

Mandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments

3

Mandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design

4

Mandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)

5

Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.

6

Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scale

7

Mandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)

8

Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)

9

Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).

10

Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challenges

11

Mandatory (Education) - B.Tech or B.E. If graduated in BCA or BCS, they should have a Maters or Post graduation

12

Mandatory (Company): B2B Tech/Consulting/B2B Software

Strong Senior UX Designer Profile with full-stack design depth (UX research, UX design, UI) and product thinking

2

Mandatory (Experience 1): Must have 5+ years professional design experience with a proven track record of designing world-class products with the recent 3+ years in a product company

3

Mandatory (Experience 2): Must be full-stack in design, hands-on across UX research, UX design and UI, taking projects start to finish with minimal supervision

4

Mandatory (Skill 1): Must be strong on product thinking, discovery and understanding user pain points, able to break product strategy into design deliverables

5

Mandatory (Skill 2): Must have hands-on experience using design research methods and both data-driven and heuristic approaches, with consumer validation

6

Mandatory (Skill 3): Must design end to end (wireframing to flows and prototypes), with strong UI craft, aesthetic sense, motion/interaction thinking, and Figma best practices plus design-to-developer handoff

7

Mandatory (Skill 4): Must have worked closely with product teams and cross-functional partners, and be able to demo and defend design decisions backed by research or benchmarking

8

Mandatory (Skill 5): Must be curious about and able to use AI as a design material (how it shows up in the interface, explains itself, and supports users)

9

Mandatory (Company): Must come from a product company (any industry)

10

Mandatory (Portfolio): Must share a portfolio with detailed case studies on Notion, Medium or a personal website; Dribbble portfolios not acceptable

11

Mandatory (Education): Graduation is mandatory; higher design education preferred

12

Mandatory (Stability): Candidate should have moved jobs too quickly in the past. 1 transition is fine, if otherwise candidate stays for at least 1+ year in a Company.

13

Preferred (Domain): Fintech or Lending experience

Strong Senior UX Designer Profile with full-stack design depth (UX research, UX design, UI) and product thinking

2

Mandatory (Experience 1): Must have 5+ years professional design experience with a proven track record of designing world-class products with the recent 3+ years in a product company

3

Mandatory (Experience 2): Must be full-stack in design, hands-on across UX research, UX design and UI, taking projects start to finish with minimal supervision

4

Mandatory (Skill 1): Must be strong on product thinking, discovery and understanding user pain points, able to break product strategy into design deliverables

5

Mandatory (Skill 2): Must have hands-on experience using design research methods and both data-driven and heuristic approaches, with consumer validation

6

Mandatory (Skill 3): Must design end to end (wireframing to flows and prototypes), with strong UI craft, aesthetic sense, motion/interaction thinking, and Figma best practices plus design-to-developer handoff

7

Mandatory (Skill 4): Must have worked closely with product teams and cross-functional partners, and be able to demo and defend design decisions backed by research or benchmarking

8

Mandatory (Skill 5): Must be curious about and able to use AI as a design material (how it shows up in the interface, explains itself, and supports users)

9

Mandatory (Company): Must come from a product company (any industry)

10

Mandatory (Portfolio): Must share a portfolio with detailed case studies on Notion, Medium or a personal website; Dribbble portfolios not acceptable

11

Mandatory (Education): Graduation is mandatory; higher design education preferred

Strong Senior AI Engineer Profile with production-grade LLM and Python expertise

2

Mandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments

3

Mandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design

4

Mandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)

5

Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.

6

Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scale

7

Mandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)

8

Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)

9

Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).

10

Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challenges

11

Mandatory (Education) - B.Tech or B.E. If graduated in BCA or BCS, they should have a Maters or Post graduation

12

Mandatory (Company): B2B Tech/Consulting/B2B Software

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Mandatory (Education) - B.TECH / M.TECH from Tier 1 Colleges (IIT, NIT, BITS, IIIT, DTU, NSUT) are considered.

Strong B2C Product Designer Profile with end-to-end ownership and prototype-in-code ability

2

Mandatory (Experience 1): Must have 3+ years designing B2C products at a high-growth consumer or fintech company

3

Mandatory (Experience 2): Must have owned a product area or a 0-to-1 launch end to end, not just individual screens inside a large team

4

Mandatory (Skill 1): Must own design end to end, from understanding the problem to shipping the experience, turning product ideas into clear, usable flows

5

Mandatory (Skill 2): Must be fluent with AI tools, both to code prototypes and POCs and to accelerate exploration and iteration through the design process

6

Mandatory (Skill 3): Must have built and maintained a design system

7

Mandatory (Skill 4): Must run hands-on customer research, talk to users regularly, think from first principles with strong user empathy, and track post-launch performance to improve designs based on feedback and data

8

Mandatory (Domain): Must have experience in high-growth consumer or fintech companies

9

Mandatory (Portfolio): Must share a portfolio that shows the problem, the decisions made and measurable outcomes, not just polished UI

10

Mandatory (Note) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment

11

Mandatory (Compensation Alignment) – Candidate must be comfortable with fixed pay matched to current CTC (no hike) plus ESOPs worth 20–30% of total CTC on top, within an overall budget of up to ₹28L total CTC (for example, a candidate on ₹20L current CTC would get ₹20L fixed plus ESOPs worth roughly ₹5L to ₹7L, taking total CTC to ₹25L to ₹27L)

Strong Lead AI Engineer Profile with agentic systems architecture expertise

2

Mandatory (Experience 1): Must have 6+ years of software or ML engineering, with at least recent 2+ years building and shipping production LLM or agentic AI systems

3

Mandatory (Tech skill 1): Must have hands-on proficiency with at least two agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI), with experience debugging framework internals

4

Mandatory (Tech skill 2): Must have direct SDK experience with Anthropic Claude API (tool use, streaming), OpenAI Assistants API, or Vertex AI Agent Builder

5

Mandatory (Tech skill 3): Must have Python mastery — production-quality code, type annotations, unit and integration tests, packaging, and performance profiling

6

Mandatory (Tech skill 4): Must have RAG pipeline depth — embedding model selection, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, RAGAS or custom evaluation harnesses

7

Mandatory (Tech skill 5): Must have cloud deployment experience with AWS, Azure, or GCP; Docker, Kubernetes, IaC basics (Terraform or CDK), and CI/CD pipelines

8

Mandatory (Tech skill 6): Must have agent observability experience — LangSmith, Helicone, or equivalent — with ability to diagnose latency, cost, and quality issues in production traces

9

Mandatory (Tech skill 8) : Must have owned full sub-system designs — agent topology, data flows, API contracts, failure handling — for a bounded scope, and built multi-agent graphs, tool orchestration, retrieval, and memory systems.

10

Mandatory (Tech skill 7): Must have track record of shipping 2+ agentic or ML systems to production — not just proof-of-concepts — with documented performance benchmarks

11

Mandatory (Communication): Must be able to write crisp component specifications and communicate architectural trade-offs to both engineers and non-technical stakeholders

12

Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

Strong Data Engineer (AWS) Profile

2

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

3

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

4

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

5

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

6

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

7

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

8

Mandatory (Education) – B.Tech / B.E./ M.Tech