At Proximity Works, we build AI-native products that operate at scale. We're now entering a critical phase—moving beyond baseline functionality to delivering high-quality, delightful user experiences across search, conversational AI, and multimodal systems.

This role sits at the intersection of LLMs, search, personalization, and video intelligence, with direct impact on products used by hundreds of millions of users.

What You'll Work On

Improving conversational search quality—making responses not just correct, but intuitive, contextual, and delightful
Contributing to the unification of traditional and conversational search, including routing logic, ranking systems, and cost optimization
Building and integrating ranking and personalization systems, combining user context with query intent
Developing video intelligence capabilities—scene-level understanding, embedding-based retrieval (CLIP and similar), and dynamic content stitching
Working on reasoning over unstructured data (RAG, multi-hop reasoning), especially for high-context domains like sports and content discovery
Designing and iterating on evaluation frameworks to continuously improve quality and performance
Operating in fast iteration cycles, closely aligned with product and engineering teams

Key Problem Areas

Elevating search experience from functional to "magical"
Designing a unified search architecture across modalities and interfaces
Balancing quality, latency, and cost in production systems
Scaling systems while maintaining high standards (the "90 → 95" problem)

Must-Have

Hands-on experience building and shipping LLM/GenAI-powered products (beyond standalone model training)
Strong foundation in search, NLP, or information retrieval (ranking, query understanding, retrieval systems)
Experience designing evaluation pipelines for generative AI (quality tracking, regression detection, metric-driven iteration)
Ability to thrive in fast-paced, iterative environments with evolving product requirements

Good to Have

Experience with multimodal systems (video/image embeddings, CLIP, temporal video understanding)
Background in personalization or recommendation systems, especially within search
Experience working on quality optimization at scale
Strong intuition for cost-efficient system design (latency, inference cost, routing strategies)

Requirements

Must-Have

Experience: 4.5-10 years in applied Data Science/ML with a strong focus on generative AI.
Hands-on experience building and shipping LLM/GenAI-powered products (beyond standalone model training)
Strong foundation in search, NLP, or information retrieval (ranking, query understanding, retrieval systems)
Experience designing evaluation pipelines for generative AI (quality tracking, regression detection, metric-driven iteration)
Ability to thrive in fast-paced, iterative environments with evolving product requirements

Good to Have

Experience with multimodal systems (video/image embeddings, CLIP, temporal video understanding)
Background in personalization or recommendation systems, especially within search
Experience working on quality optimization at scale
Strong intuition for cost-efficient system design (latency, inference cost, routing strategies)

Benefits

Best in class salary: We hire only the best, and we pay accordingly.
Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

This role sits at the intersection of LLMs, search, personalization, and video intelligence, with direct impact on products used by hundreds of millions of users.

What You'll Work On

Improving conversational search quality—making responses not just correct, but intuitive, contextual, and delightful
Contributing to the unification of traditional and conversational search, including routing logic, ranking systems, and cost optimization
Building and integrating ranking and personalization systems, combining user context with query intent
Developing video intelligence capabilities—scene-level understanding, embedding-based retrieval (CLIP and similar), and dynamic content stitching
Working on reasoning over unstructured data (RAG, multi-hop reasoning), especially for high-context domains like sports and content discovery
Designing and iterating on evaluation frameworks to continuously improve quality and performance
Operating in fast iteration cycles, closely aligned with product and engineering teams

Key Problem Areas

Elevating search experience from functional to "magical"
Designing a unified search architecture across modalities and interfaces
Balancing quality, latency, and cost in production systems
Scaling systems while maintaining high standards (the "90 → 95" problem)

Must-Have

Hands-on experience building and shipping LLM/GenAI-powered products (beyond standalone model training)
Strong foundation in search, NLP, or information retrieval (ranking, query understanding, retrieval systems)
Experience designing evaluation pipelines for generative AI (quality tracking, regression detection, metric-driven iteration)
Ability to thrive in fast-paced, iterative environments with evolving product requirements

Good to Have

Experience with multimodal systems (video/image embeddings, CLIP, temporal video understanding)
Background in personalization or recommendation systems, especially within search
Experience working on quality optimization at scale
Strong intuition for cost-efficient system design (latency, inference cost, routing strategies)

Requirements

Must-Have

Experience: 4.5-10 years in applied Data Science/ML with a strong focus on generative AI.
Hands-on experience building and shipping LLM/GenAI-powered products (beyond standalone model training)
Strong foundation in search, NLP, or information retrieval (ranking, query understanding, retrieval systems)
Experience designing evaluation pipelines for generative AI (quality tracking, regression detection, metric-driven iteration)
Ability to thrive in fast-paced, iterative environments with evolving product requirements

Good to Have

Experience with multimodal systems (video/image embeddings, CLIP, temporal video understanding)
Background in personalization or recommendation systems, especially within search
Experience working on quality optimization at scale
Strong intuition for cost-efficient system design (latency, inference cost, routing strategies)

Benefits

Best in class salary: We hire only the best, and we pay accordingly.
Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

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About Proximity Works

Founded :

2019

Type :

Products & Services

Size :

20-100

Stage :

Bootstrapped

About

We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.

About us

Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.

About the Founders

At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.

Milestones & Impact

Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.

Culture & Why It Matters

Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.

We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.

About us

About the Founders

At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.

Milestones & Impact

Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.

Culture & Why It Matters

Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.

Connect with the team

Hardik Jagda

Kushaal Devanahalli

Omprakash Mishra

Madhvi Jagda

Tushar Vaghela

Company social profiles

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